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EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for the Italian language: since 2007 shared tasks have been proposed covering the analysis of both written and spoken language with the aim of enhancing the development and dissemination of resources and technologies for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it/) and it is supported by the NLP Special Interest Group of the Italian Association for Artificial Intelligence (AI*IA, http://www.aixia.it/) and by the Italian Association of Speech Science (AISV, http://www.aisv.it/). In this volume, we collect the reports of the tasks’ organisers and of the participants to all of the EVALITA 2016’s tasks, which are the following: ArtiPhone - Articulatory Phone Recognition; FactA - Event Factuality Annotation; NEEL-IT - Named Entity rEcognition and Linking in Italian Tweets; PoSTWITA - POS tagging for Italian Social Media Texts; QA4FAQ - Question Answering for Frequently Asked Questions; SENTIPOLC - SENTIment POLarity Classification. Notice that the volume does not include reports related to the IBM Watson Services Challenge organised by IBM Italy, but information can be found at http://www.evalita.it/2016/tasks/ibm-challenge. Before the task and participant reports, we also include an overview to the campaign that describes the tasks in more detail, provides figures on the participants, and, especially, highlights the innovations introduced at this year’s edition. An additional report presents a reflection on the outcome of two questionnaires filled by past participants and organisers of EVALITA, and of the panel “Raising Interest and Collecting Suggestions on the EVALITA Evaluation Campaign” held at CLIC-it 2015.
Linguistics --- linguistica computazionale --- riconoscimento telefonico articolare --- annotazione fattualità degli eventi --- entità chiamata rEcognition e collegamenti nei tweet italiani --- etichettare per messaggi social media --- classificazione polarità sentimenti --- linguistique computationelle --- reconnaissance téléphonique articulatoire --- annotation de facturation de l'événement --- entité appelée rEcognition et liens dans le tweets italien --- étiqueter les messages des médias sociaux --- classement polarité sentiments --- computational linguistics --- articulatory phone recognition --- event factuality annotation --- named entity rEcognition and linking in italian tweets --- tagging for italian social media texts --- sentiment polarity classification
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The work of a fan takes many forms, such as following a celebrity on Instagram or creating fan art as homages to adored characters. While feelings of like and love are commonly understood, examined less frequently are the equally intense, but opposite feelings. Disinterest. Disgust. Hate. This is anti-fandom. It is visible in many of the same spaces where you see fandom: in the long lines at Comic-Con, in our politics, and in numerous online forums like Twitter, Tumblr, Reddit, and the ever-dreaded comments section. This is where we love to hate. Anti-fandom, a collection of fifteen original and innovative essays, provides a framework for future study through theoretical and methodological exemplars that examine anti-fandom in the contemporary digital environment. Engaging a number of contemporary issues from hatewatching Girls and enduring hated Tyler Perry films to online expressions of hate for a range of celebrities, characters and genres, these chapters ground the emerging area of anti-fan studies with a productive foundation. The book demonstrates the importance of constructing a complex knowledge of emotion and media in fan studies. Its focus on the pleasures, performances, and practices that constitute anti-fandom will generate new perspectives for understanding the impact of hate on our identities, relationships, and communities
Berühmte Persönlichkeit --- Hate crime --- Cyber-Mobbing --- Verbalaggression --- Verunglimpfung --- Fan --- Fans (Persons) --- Social media. --- Hate. --- Subculture. --- Celebrities --- Attitudes. --- Public opinion. --- BDSM. --- Doctor Who. --- Fifty Shades of Grey. --- Glee Equality Project. --- ambivalence. --- ante-fandom. --- anti-fan studies. --- audiences relationships. --- audiences. --- bad objects. --- black images. --- black women. --- cancellation. --- carnivalesque. --- celebrities. --- characters. --- childhood. --- complaining. --- counterhegemonic. --- creativity. --- criticizing. --- cultural hierarchies. --- digital environments. --- digital media culture. --- digital media. --- disliking. --- disparaging. --- dissatisfaction. --- dumbing down. --- emotion. --- engagement. --- exploitainment. --- fan community. --- fan fiction. --- fan object. --- fan studies. --- fan text. --- fan. --- fantipathy. --- favorite team. --- frustration. --- gatekeepers. --- gender relations. --- gender. --- generations. --- hate speech. --- hatewatching. --- hegemonic. --- lived experiences. --- mainstream. --- media consumption. --- media texts. --- mediated dislike. --- misogyny. --- mob attacks. --- moral compass. --- nationality. --- online conversations. --- paratextual role. --- political antagonism. --- populist forces. --- programing strategy. --- public service broadcasting. --- race. --- rejection discourse. --- rhetorical functions. --- self-narrative. --- social media. --- social phenomenon. --- socialized fandom. --- strong ties. --- subcultural capital. --- television quality. --- television.
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